Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients.
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| Title: | Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. |
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| Authors: | Soares NC; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates., Hussein A; Department of Family and Community Medicine & Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates., Muhammad JS; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates., Semreen MH; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates., ElGhazali G; Department of Immunology, Sheikh Khalifa Medical City- Union71- Purelab, Abu Dhabi and College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates., Hamad M; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. |
| Source: | PloS one [PLoS One] 2023 Aug 10; Vol. 18 (8), pp. e0289738. Date of Electronic Publication: 2023 Aug 10 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0289738 |
